Statistical Principles of Research Design and Analysis by Robert O. Kuehl
This book provides an overall research design strategy by emphasizing how research hypotheses relate to treatment design. The author provides as realistic a setting as possible for conducting an actual research project. Examples, often based on actual research studies, describe the research venue and establish a specific problem; then the corresponding research hypothesis is identified with a treatment design that addresses it. Unique Features and In Text Learning Aids: Recurrent emphasis on the following as ideas: controlling variation, randomisation, the WHY of replication, and the structure of the research design process; Excellent examples, based whenever possible on actual research studies, organised in a problem-solving fashion; Numerous exercises also based on actual research studies and real data, whenever possible; Consistent emphasis on data analysis of the design; Strong computer orientation with computer outputs in SAS,SPSS, Minitab, or BMDP; Large array of real data sets from a broad spectrum of scientific and technological fields.